EFFECTS OF FEATURES OF GK+(A) ON RETRIEVAL IN AUTOASSOCIATIVE NETWORKS

被引：0
|
作者：
BERNER, J
机构：
来源：
NETWORK-COMPUTATION IN NEURAL SYSTEMS | 1991年 / 2卷 / 04期
关键词：
D O I：
10.1088/0954-898X/2/4/003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Features of a voltage- and time-dependent potassium conductance, gK + (A), were incorporated into the neuronal response function of auto-associative, attractor neural networks. Simulations showed that an increase in the magnitude of gK + (A) decreased the rate of convergence to equilibria and could markedly change the probability that the final equilibrium state of the network would most highly correlate with a stationary stimulus embedded in noise. These results may provide a framework for evaluating the functional roles of the many agents which modulate gK + (A).
引用
收藏
页码：361 / 369
页数：9
相关论文
共 50 条
  • [21] Noise discrimination and autoassociative neural networks
    Santa Cruz, C
    Dorronsoro, JR
    Siguenza, JA
    Lopez, V
    BIOLOGICAL AND ARTIFICIAL COMPUTATION: FROM NEUROSCIENCE TO TECHNOLOGY, 1997, 1240 : 1213 - 1220
  • [22] Quality and efficiency of retrieval for Willshaw-like autoassociative networks .3. Willshaw-Potts model
    Kartashov, A
    Frolov, A
    Goltsev, A
    Folk, R
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1997, 8 (01) : 71 - 86
  • [23] Autoassociative memory retrieval and spontaneous activity bumps in small-world networks of integrate-and-fire neurons
    Anishchenko, Anastasia
    Treves, Alessandro
    JOURNAL OF PHYSIOLOGY-PARIS, 2006, 100 (04) : 225 - 236
  • [24] Speaker diarization using autoassociative neural networks
    Jothilakshmi, S.
    Ramalingam, V.
    Palanivel, S.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2009, 22 (4-5) : 667 - 675
  • [25] Use of autoassociative neural networks for signal validation
    Hines, J.Wesley
    Uhrig, Robert E.
    Wrest, Darryl J.
    Journal of Intelligent and Robotic Systems: Theory and Applications, 1998, 21 (02): : 143 - 154
  • [26] Noise reduction by using Autoassociative Neural Networks
    Vlahovic, Natasa
    Kvascev, Goran
    2016 13TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL), 2016, : 71 - 75
  • [27] Autoassociative neural networks and time series filtering
    Dorronsoro, JR
    López, V
    Cruz, CS
    Sigüenza, JA
    INTERNATIONAL CONFERENCE ON COMPUTING AND INFORMATION TECHNOLOGIES : EXPLORING EMERGING TECHNOLOGIES, 2001, : 239 - 246
  • [28] Mirror image learning for autoassociative neural networks
    Shimizu, S
    Ohyama, W
    Wakabayashi, T
    Kimura, F
    SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2003, : 804 - 808
  • [29] Use of autoassociative neural networks for signal validation
    Hines, JW
    Uhrig, RE
    Wrest, DJ
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 1998, 21 (02) : 143 - 154
  • [30] Eigenspace method by autoassociative networks for object recognition
    Yokoi, T
    Ohyama, W
    Wakabayashi, T
    Kimura, F
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, PROCEEDINGS, 2004, 3138 : 95 - 103
12345